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Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
87
Citations
37933
World Ranking
710
National Ranking
25

Sanja Fidler publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Sanja Fidler sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 233 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Sanja Fidler D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Sanja Fidler sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 87 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award

Overview

Sanja Fidler is a researcher affiliated with the University of Toronto in Canada. Their academic work spans several fields within computer science, with a particular focus on computer vision, computer graphics, and artificial intelligence. Fidler's research output includes a significant number of publications, totaling nearly 300 in computer science and over 80 in engineering.

Their studies cover multiple subfields, including:

  • Computer Vision and Pattern Recognition
  • Computational Mechanics
  • Artificial Intelligence
  • Computer Graphics and Computer-Aided Design
  • Control and Systems Engineering

Within these areas, the main topics of their work include:

  • Computer Graphics and Visualization Techniques
  • 3D Shape Modeling and Analysis
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Vision and Imaging
  • Advanced Neural Network Applications
  • Human Pose and Action Recognition
  • Human Motion and Animation

Fidler has published extensively in prominent venues, such as:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Lecture notes in computer science

Their recent publications include:

  • Extracting Triangular 3D Models, Materials, and Lighting From Images, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • LION: Latent Point Diffusion Models for 3D Shape Generation, 2022, arXiv (Cornell University)
  • GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images, 2022, arXiv (Cornell University)
  • The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • ASE, 2022, ACM Transactions on Graphics

Fidler frequently collaborates with several co-authors, including:

  • Karsten Kreis
  • Žan Gojčič
  • Or Litany
  • Huan Ling
  • David Acuna

Best Publications

  • Scene Parsing through ADE20K Dataset

    Bolei Zhou;Hang Zhao;Xavier Puig;Sanja Fidler

  • Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books

    Yukun Zhu;Ryan Kiros;Rich Zemel;Ruslan Salakhutdinov

  • Skip-thought vectors

    Ryan Kiros;Yukun Zhu;Ruslan Salakhutdinov;Richard S. Zemel

  • Semantic Understanding of Scenes Through the ADE20K Dataset

    Bolei Zhou;Hang Zhao;Xavier Puig;Tete Xiao

  • The Role of Context for Object Detection and Semantic Segmentation in the Wild

    Roozbeh Mottaghi;Xianjie Chen;Xiaobai Liu;Nam-Gyu Cho

  • Monocular 3D Object Detection for Autonomous Driving

    Xiaozhi Chen;Kaustav Kundu;Ziyu Zhang;Huimin Ma

  • Magic3D: High-Resolution Text-to-3D Content Creation

    Unknown

  • VSE++: Improving Visual-Semantic Embeddings with Hard Negatives.

    Fartash Faghri;David J. Fleet;Jamie Ryan Kiros;Sanja Fidler

  • 3D object proposals for accurate object class detection

    Xiaozhi Chen;Kaustav Kundu;Yukun Zhu;Andrew Berneshawi

  • Scaling Egocentric Vision: The EPIC-KITCHENS Dataset

    Dima Damen;Hazel Doughty;Giovanni Maria Farinella;Sanja Fidler

  • Gated-SCNN: Gated Shape CNNs for Semantic Segmentation

    Towaki Takikawa;David Acuna;Varun Jampani;Sanja Fidler

  • Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models

    Unknown

  • MovieQA: Understanding Stories in Movies through Question-Answering

    Makarand Tapaswi;Yukun Zhu;Rainer Stiefelhagen;Antonio Torralba

  • Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3D

    Jonah Philion;Sanja Fidler

  • Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts

    Xianjie Chen;Roozbeh Mottaghi;Xiaobai Liu;Sanja Fidler

  • Towards Diverse and Natural Image Descriptions via a Conditional GAN

    Bo Dai;Sanja Fidler;Raquel Urtasun;Dahua Lin

  • Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation

    Jian Yao;Sanja Fidler;Raquel Urtasun

  • 3D Graph Neural Networks for RGBD Semantic Segmentation

    Xiaojuan Qi;Renjie Liao;Jiaya Jia;Sanja Fidler

  • Predicting Deep Zero-Shot Convolutional Neural Networks Using Textual Descriptions

    Jimmy Lei Ba;Kevin Swersky;Sanja Fidler;Ruslan Salakhutdinov

  • 3D Object Proposals Using Stereo Imagery for Accurate Object Class Detection

    Xiaozhi Chen;Kaustav Kundu;Yukun Zhu;Huimin Ma

  • Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes

    Towaki Takikawa;Joey Litalien;Kangxue Yin;Karsten Kreis

  • Order-Embeddings of Images and Language

    Ivan Vendrov;Ryan Kiros;Sanja Fidler;Raquel Urtasun

  • VirtualHome: Simulating Household Activities Via Programs

    Xavier Puig;Kevin Ra;Marko Boben;Jiaman Li

Frequent Co-Authors

Raquel Urtasun
Raquel Urtasun University of Toronto
Ales Leonardis
Ales Leonardis University of Birmingham
Dahua Lin
Dahua Lin Chinese University of Hong Kong
Sven Dickinson
Sven Dickinson University of Toronto
Renjie Liao
Renjie Liao University of British Columbia
Ruslan Salakhutdinov
Ruslan Salakhutdinov Carnegie Mellon University
Dima Damen
Dima Damen University of Bristol
Jimmy Ba
Jimmy Ba University of Toronto
Roozbeh Mottaghi
Roozbeh Mottaghi University of Washington

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